def test_processing_statistics_normal(
scene_synthetic: synthetic_scene.SyntheticInputData, ):
reference = scene_synthetic.reconstruction
dataset = synthetic_dataset.SyntheticDataSet(
reference,
scene_synthetic.exifs,
scene_synthetic.features,
scene_synthetic.descriptors,
scene_synthetic.colors,
scene_synthetic.tracks_manager,
)
processing_statistics = stats.processing_statistics(dataset, [reference])
assert list(
processing_statistics.keys()) == ["steps_times", "date", "area"]
assert processing_statistics["steps_times"] == {
"Feature Extraction": -1,
"Features Matching": -1,
"Tracks Merging": -1,
"Reconstruction": -1,
"Total Time": 0,
}
assert processing_statistics["date"] == "unknown"
assert 3500 < processing_statistics["area"] < 3600
def test_processing_statistics_null(
scene_synthetic: synthetic_scene.SyntheticInputData,
null_scene: types.Reconstruction,
):
dataset = synthetic_dataset.SyntheticDataSet(
null_scene,
scene_synthetic.exifs,
scene_synthetic.features,
scene_synthetic.descriptors,
scene_synthetic.colors,
scene_synthetic.tracks_manager,
)
processing_statistics = stats.processing_statistics(dataset, [null_scene])
assert list(
processing_statistics.keys()) == ["steps_times", "date", "area"]
assert processing_statistics["steps_times"] == {
"Feature Extraction": -1,
"Features Matching": -1,
"Tracks Merging": -1,
"Reconstruction": -1,
"Total Time": 0,
}
assert processing_statistics["date"] == "unknown"
assert processing_statistics["area"] == -1